Association between increased Patients' out-of-pocket costs for apixaban and oral anticoagulant discontinuation in high-risk patients with atrial fibrillation - a retrospective Medicare claims study
Notice bibliographique
Résumé
Abstract Introduction: Atrial fibrillation (AF) affects millions of adults in the United States and is a major risk factor for stroke, making stroke prevention with oral anticoagulants (OACs) a critical component of AF management. Apixaban, a direct OAC, is commonly prescribed to patients newly diagnosed with AF. However, upward shift in formulary tier placement for apixaban in 2017 and resulting increased out-of-pocket costs (OOPC) have created challenges for Medicare beneficiaries to access apixaban and adhere with OAC therapy. Purpose: To evaluate the impact of increased OOPC for apixaban on OAC treatment discontinuation in high-stroke-risk Medicare beneficiaries with AF. Methods: This retrospective cohort study used the Medicare fee-for-service claims data (01/01/2012–12/31/2019) and examined adults with AF and elevated stroke risk, as defined by the individual components of the CHA₂DS₂-VASc score. Patients were included in the study if they (1) began apixaban during 01/01/2013–12/31/2016; (2) maintained uninterrupted apixaban use through the end of 2016; (3) held continuous Medicare Parts A/B/D coverage ≥12 months before apixaban initiation and through the end of 2017; (4) were enrolled in a prescription drug plan (PDP) in 2016 that shifted apixaban to a higher tier the following year, but remained in the same PDP in 2017; (5) experienced a rise in apixaban OOPC from 2016 to 2017 and (6) were at a high-risk of stroke (males with a CHA2DS2-VASc score ≥2 and females with a CHA2DS2-VASc score ≥3). Monthly OOPC (2020 USD) were calculated from all apixaban claims in 2016 and 2017, respectively, and standardized to reflect a 30-day supply. Treatment discontinuation was defined as a >30-day gap in apixaban without switching to another OAC. Multivariable Cox proportional hazard models were used to evaluate the association between increased OOPC for apixaban (per $50 increments) and treatment discontinuation in 2017. Subgroup analyses were conducted for each individual stroke risk factor included in the CHA₂DS₂-VASc score. Results: The cohort comprised 1,128 high-risk Medicare beneficiaries treated with apixaban in 2016. The mean age was 78.8, 44.2% were women, 94.3% were White, and 35.2% were from the South, 29.2% Midwest, 23.0% Northeast and 12.7% from West region of the US. The mean duration of apixaban prior to 2017 was 9.8 months, including 9.2% with >2 years of use. All plans with tier 2 (2.7%) or tier 3 (97.3%) formulary coverage for apixaban in 2016 shifted apixaban to a higher tier in 2017, triggering a new prior authorization requirement in 2017 (99.9% of plans). Average monthly OOPC for apixaban almost doubled from $76.6 ± $40.8 in 2016 to $162.5 ± $60.0 in 2017, with a mean increase of $85.9 ± $57.2. In 2017, 27.8% of beneficiaries discontinued apixaban without switching to another OAC. Overall, for every $50 increase in the average monthly OOPC from 2016 to 2017, the likelihood of treatment discontinuation significantly increased by 1.24 times (adjusted hazard ratio [aHR] = 1.24; 95% confidence interval [CI]: 1.12, 1.38). Subgroup analyses demonstrated that the association between increased OOPC and treatment discontinuation was more pronounced in women (aHR = 1.39; 95% CI: 1.16, 1.66) and patients with a history of stroke, transient ischemic attack, or thromboembolism (aHR = 1.43; 95% CI: 1.11, 1.84). Significant positive associations between increased OOPC and treatment discontinuation were also observed among male patients (aHR = 1.18; 95% CI: 1.02, 1.36), patients aged ≥75 years (aHR = 1.21; 95% CI: 1.05, 1.39), and those with a history of congestive heart failure (aHR = 1.29; 95% CI: 1.05, 1.59), or hypertension (aHR = 1.26; 95% CI: 1.13, 1.41). Conclusions: In these high-risk Medicare beneficiaries with AF, patients' OOPC nearly doubled following the shift of apixaban to a higher formulary tier. More than one in four of these patients subsequently discontinued treatment. Higher OOPC were significantly associated with an increased likelihood of treatment discontinuation. This association was consistently observed across stroke risk factors and was particularly pronounced among women and those with a history of stroke, transient ischemic attack, or thromboembolism. These findings suggest that patients with known conditions placing them at high-risk of stroke may be particularly vulnerable to non-medical barriers, highlighting the need for policies that ensure continued access to preventive treatments.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,004 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,002 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».